CN103924967A - Roadway roof collapse hidden danger detection method - Google Patents
Roadway roof collapse hidden danger detection method Download PDFInfo
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- CN103924967A CN103924967A CN201410076034.9A CN201410076034A CN103924967A CN 103924967 A CN103924967 A CN 103924967A CN 201410076034 A CN201410076034 A CN 201410076034A CN 103924967 A CN103924967 A CN 103924967A
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- 238000001514 detection method Methods 0.000 title claims abstract description 23
- 238000005553 drilling Methods 0.000 claims abstract description 20
- 239000011435 rock Substances 0.000 claims abstract description 15
- 238000005065 mining Methods 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims abstract description 10
- 238000013461 design Methods 0.000 claims abstract description 7
- 238000005336 cracking Methods 0.000 claims description 17
- 230000035515 penetration Effects 0.000 claims description 7
- 230000010429 evolutionary process Effects 0.000 claims description 6
- 238000011897 real-time detection Methods 0.000 claims description 5
- 206010057175 Mass conditions Diseases 0.000 claims description 4
- 238000010835 comparative analysis Methods 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 230000002787 reinforcement Effects 0.000 abstract 1
- 238000012544 monitoring process Methods 0.000 description 3
- 238000006073 displacement reaction Methods 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000523 sample Substances 0.000 description 1
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Abstract
The invention relates to a roadway roof collapse hidden danger detection method. The degree of roof collapse hidden dangers is detected by mechanically drilling a roadway roof. The method is characterized in that drilling characteristics of a drilling machine is detected in real time and change rules of parameters including drilling rate, thrust, rotating speed and the like of the drilling machine are tested under conditions of rock masses of different rupture degrees to obtain drilling characteristics of the drilling machine under the conditions of the rock masses of different rupture degrees; the obtained drilling characteristics of the drilling machine under the conditions of the rock masses of different rupture degrees and actual drilling characteristics of the roadway roof drilling machine are comparatively analyzed to measure actual specific rupture conditions of the roadway roof and evaluate the roadway roof collapse hidden dangers; the degrees of the roadway roof collapse hidden dangers in periods with roadway drivage influences, primary mining influence and secondary mining influences are detected to obtain rupture degree evolution processes of the roadway roof in different periods, and the rupture degree evolution processes of the roadway roof in different periods are taken as basis for amending supporting designs or directing supporting reinforcement.
Description
Technical field
The invention belongs to roadway surrounding rock field of detecting, relate to specifically a kind ofly by back machine drilling and record the method that its rig creeps into characteristic, survey top board cracking depth and then evaluate fall of ground hidden danger degree.
Background technology
Along with the degree of depth of coal mining is increasing, geological conditions is increasingly sophisticated, fall of ground accident also increases thereupon, the detection of back cracking depth is the key of the identification of fall of ground hidden danger, is also revise design of its support or instruct reinforce support to prevent the important evidence of roof fall.Detection for top board cracking depth is mainly to spy on by boring the method drilling through with core at present, and boring is spied on and can be found out comparatively intuitively top board variation of lithological and cranny development situation, but the degree of accuracy is difficult to assurance, is affected by human factors larger simultaneously; Core drills through can Direct Recognition roof strata structure and lithology, is the important evidence of initial design of its support, but can not reflect the top board degree of breaking.A fall of ground Hidden Danger Detection method, by the characteristic of creeping into of real-time detection rig, cracking depth and the evolutionary process thereof of prediction top board different times, can evaluate fall of ground hidden danger preferably, for the control of fall of ground with prevent significant.
Summary of the invention
The object of this invention is to provide a kind of fall of ground Hidden Danger Detection method, three of the rate of penetration of the method by real-time detection rig, thrust, rotating speeds etc. creep into characteristic, prediction top board cracking depth, evaluate fall of ground hidden danger, by surveying the back cracking depth of different times, grasp the cracking depth evolutionary process of back different times simultaneously.
The technical solution adopted for the present invention to solve the technical problems is: a kind of fall of ground Hidden Danger Detection method, by the method in back machine drilling, survey top board roof fall hidden danger degree, the break rock mass of degree of difference has corresponding rig and creeps into characteristic, therefore by the characteristic of creeping into of real-time detection rig, just can grasp the degree of breaking of each layer of position rock mass of top board, top board cracking depth and fall of ground hidden danger have direct relation simultaneously, according to the cracking depth of top board, just can evaluate fall of ground hidden danger.
A kind of fall of ground Hidden Danger Detection method, by testing the break Changing Pattern of three parameters such as rig rate of penetration under degree rock mass condition, rig thrust, rig rotating speed of difference, obtain the break characteristic of creeping into of degree rock mass of difference, as benchmark, by creeping into characteristic comparative analysis with actual back rig, set up rig and creep into the break mapping relations of degree of characteristic and top board, weigh the situation of specifically breaking of actual back.
A kind of fall of ground Hidden Danger Detection method, during tunnelling impact, mining influence, secondary mining influence, carry out machine drilling respectively, survey its fall of ground hidden danger degree, obtain the cracking depth evolutionary process of back different times, and as revising design of its support or instructing the foundation of reinforce support.
Beneficial effect of the present invention: this kind of fall of ground Hidden Danger Detection method, by the method in back machine drilling, survey top board roof fall hidden danger degree, detection data the most effectively, its machine drilling is the common boring of roadway bolt (rope), surveying can normal mounting anchor pole (rope) after having holed, without special boring, stopped traditional detection method complicated operation, be affected by human factors large shortcoming.
This kind of fall of ground Hidden Danger Detection method, it is characterized in that by testing difference three Changing Patterns that creep into characterisitic parameter such as rig rate of penetration under degree rock mass condition, rig thrust, rig rotating speed that break, as benchmark, by creeping into characteristic comparative analysis with actual back rig, weigh the situation of specifically breaking of actual back, guarantee the comprehensive of detection data, can effectively survey the form of breaking of top board, and then the roof fall hidden danger degree of reflection top board.
This kind of fall of ground Hidden Danger Detection method, by surveying the fall of ground hidden danger degree during tunnelling impact, mining influence, secondary mining influence, obtain the cracking depth evolutionary process of back different times, and as revising design of its support or instructing the foundation of reinforce support, for the control of fall of ground with prevent significant.
Accompanying drawing explanation
When considered in conjunction with the accompanying drawings, by the detailed description with reference to below, can more completely understand better the present invention and easily learn wherein many advantages of following, but accompanying drawing described herein is used to provide a further understanding of the present invention, form a part of the present invention, schematic description and description of the present invention is used for explaining the present invention, does not form inappropriate limitation of the present invention, wherein.
Fig. 1 is fall of ground Hidden Danger Detection method overall plan schematic diagram.
Fig. 2 is fall of ground Hidden Danger Detection Method And Principle figure.
Fig. 3 is fall of ground Hidden Danger Detection result figure.
The specific embodiment
With reference to Fig. 1, Fig. 2, the present invention will be described for Fig. 3, a kind of fall of ground Hidden Danger Detection method, by the method in back machine drilling, survey top board roof fall hidden danger degree, the break rock mass of degree of difference has corresponding rig 2 and creeps into characteristic (rate of penetration 15, rig thrust 16, rig rotating speed 17), therefore by the characteristic of creeping into of real-time detection rig, the degree of breaking that just can grasp each layer of position rock mass of top board (breaks 10 very much, break 11, without obviously breaking 12), determine top board cracking depth border 9, top board cracking depth 20 has direct relation with fall of ground hidden danger 21 simultaneously, according to the cracking depth of top board, just can evaluate fall of ground hidden danger 21, during concrete enforcement, rig thrust 16 is obtained by thrust pickup 7 monitorings, rig rotating speed 17 is obtained by speed probe 3 monitorings, rate of penetration 15 is obtained by displacement transducer 5 and 6 monitorings of displacement basic point connecting line.By testing the break Changing Pattern of three parameters such as rig rate of penetration 15 under degree rock mass condition, rig thrust 16, rig rotating speed 17 of difference, obtain the break characteristic of creeping into of degree rock mass of difference, as benchmark, by creeping into characteristic comparative analysis with actual back 1 rig 2, set up rig 2 and creep into the break mapping relations of degree 20 of characteristic and top board, weigh the situation of specifically breaking of actual back 1.During affecting 22, mining influences 23, secondary mining influence 24, tunnelling carries out machine drilling respectively simultaneously, survey its fall of ground hidden danger degree, obtain the cracking depth evolutionary process of back different times, and as revising design of its support or instructing the foundation of reinforce support.
Claims (3)
1. a fall of ground Hidden Danger Detection method, surveys top board roof fall hidden danger degree by the method in back machine drilling, it is characterized in that the characteristic of creeping into by real-time detection rig, and prediction top board cracking depth, evaluates fall of ground hidden danger.
2. a kind of fall of ground Hidden Danger Detection method according to claim 1, it is characterized in that by testing the break Changing Pattern of three parameters such as rig rate of penetration under degree rock mass condition, rig thrust, rig rotating speed of difference, obtain the break characteristic of creeping into of degree rock mass of difference, as benchmark, by creeping into characteristic comparative analysis with actual back rig, weigh the situation of specifically breaking of actual back.
3. a kind of fall of ground Hidden Danger Detection method according to claim 1, it is characterized in that by surveying the fall of ground hidden danger degree during tunnelling impact, mining influence, secondary mining influence, obtain the cracking depth evolutionary process of back different times, and as revising design of its support or instructing the foundation of reinforce support.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410076034.9A CN103924967A (en) | 2014-03-04 | 2014-03-04 | Roadway roof collapse hidden danger detection method |
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| CN201410076034.9A CN103924967A (en) | 2014-03-04 | 2014-03-04 | Roadway roof collapse hidden danger detection method |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104632080A (en) * | 2014-12-26 | 2015-05-20 | 中国矿业大学 | Three-direction accurate locating analog simulation roadway miniature drilling machine |
| CN104914484A (en) * | 2015-05-31 | 2015-09-16 | 西安科技大学 | Roadway surrounding rock stability combined testing device and testing method |
| CN106703795A (en) * | 2016-12-05 | 2017-05-24 | 中国矿业大学 | Roof rock in the lane grade while drilling detection device and method based on laser distance meter |
| WO2018103326A1 (en) * | 2016-12-05 | 2018-06-14 | 中国矿业大学 | Measurement while drilling device and method for determining lithological characteristics of tunnel roof |
| CN108286459A (en) * | 2018-01-16 | 2018-07-17 | 山东科技大学 | Back potentially danger rock stratum method of determining range |
| CN109446659A (en) * | 2018-10-31 | 2019-03-08 | 华北科技学院 | A kind of method that integrated forecasting heading emits heights of roofs and hidden danger classification |
| CN109828314A (en) * | 2019-02-01 | 2019-05-31 | 内蒙古科技大学 | A kind of mining induced roadway country rock plastic failure range precision detection method |
| CN111411983A (en) * | 2020-03-30 | 2020-07-14 | 中煤新集能源股份有限公司 | Repair process for improving compressive strength of underground coal mine roadway surrounding rock loosening ring |
| CN112761726A (en) * | 2020-12-30 | 2021-05-07 | 中国矿业大学 | Roof collapse risk assessment and prediction device and method |
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| CN202274954U (en) * | 2011-08-09 | 2012-06-13 | 葫芦岛工大迪安科技有限公司 | Device for monitoring and early warning roof fall of roadway |
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- 2014-03-04 CN CN201410076034.9A patent/CN103924967A/en active Pending
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104632080A (en) * | 2014-12-26 | 2015-05-20 | 中国矿业大学 | Three-direction accurate locating analog simulation roadway miniature drilling machine |
| CN104914484A (en) * | 2015-05-31 | 2015-09-16 | 西安科技大学 | Roadway surrounding rock stability combined testing device and testing method |
| CN106703795A (en) * | 2016-12-05 | 2017-05-24 | 中国矿业大学 | Roof rock in the lane grade while drilling detection device and method based on laser distance meter |
| WO2018103326A1 (en) * | 2016-12-05 | 2018-06-14 | 中国矿业大学 | Measurement while drilling device and method for determining lithological characteristics of tunnel roof |
| RU2692321C1 (en) * | 2016-12-05 | 2019-06-24 | Чайна Юниверсити Оф Майнинг Энд Текнолоджи | Device and method for determining at drilling (opb) lithologic composition of mine roof |
| CN108286459A (en) * | 2018-01-16 | 2018-07-17 | 山东科技大学 | Back potentially danger rock stratum method of determining range |
| CN108286459B (en) * | 2018-01-16 | 2019-10-25 | 山东科技大学 | Back potentially danger rock stratum method of determining range |
| CN109446659A (en) * | 2018-10-31 | 2019-03-08 | 华北科技学院 | A kind of method that integrated forecasting heading emits heights of roofs and hidden danger classification |
| CN109828314A (en) * | 2019-02-01 | 2019-05-31 | 内蒙古科技大学 | A kind of mining induced roadway country rock plastic failure range precision detection method |
| CN109828314B (en) * | 2019-02-01 | 2020-06-23 | 内蒙古科技大学 | Precision detection method for plastic damage range of mining roadway surrounding rock |
| CN111411983A (en) * | 2020-03-30 | 2020-07-14 | 中煤新集能源股份有限公司 | Repair process for improving compressive strength of underground coal mine roadway surrounding rock loosening ring |
| CN112761726A (en) * | 2020-12-30 | 2021-05-07 | 中国矿业大学 | Roof collapse risk assessment and prediction device and method |
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Application publication date: 20140716 |